Type Hints in Python

Python is dynamically typed—fast to write, sometimes fuzzy to read. This Block adds practical type annotations to make intent obvious: start with parameters and returns, then move to union X | Y (and the older Optional/Union), typed variables, and common collections. We also cover fixed and variadic tuples, when Any is a bad idea, simple Type Alias/NewType patterns, and quick checks with your editor or a light mypy/Ty run. Short quizzes keep it hands-on.

• Annotate parameters, return values, and variables
• Use unions with |; read legacy Optional/Union
• Type collections and tuples: list[str], dict[str, int], set[str], tuple[int, ...]
• Create and reuse Type Alias; enforce intent with NewType
• Handle edge cases: Any, targeted # type: ignore[assignment], light static checks

Plain language, copy-pasteable examples, and a focus on intent—so your Python reads clearly without slowing you down.